In this paper, we propose a visual quality enhancement of 3D reconstruction algorithm in integral imaging. Conventional integral imaging has a critical problem that attenuates the visual quality of 3D objects when low-resolution elemental images are used. Although, PERT is one of the solutions, the size of 3D scenes is different from optical reconstruction since it is not considering space between back-projected pixels on reconstruction planes. Therefore, we consider this space and use convolution operator. Especially, convolution operator can be designed by considering aperture shapes. To support our proposed method, we carry out optical experiment and computer simulations.


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    Titel :

    Computational reconstruction technique in integral imaging with enhanced visual quality


    Beteiligte:
    Inoue, Kotaro (Autor:in) / Cho, Byeongwoo (Autor:in) / Yun, Hui (Autor:in) / Cho, Myungjin (Autor:in)

    Kongress:

    Three-Dimensional Imaging, Visualization, and Display 2018 ; 2018 ; Orlando,Florida,United States


    Erschienen in:

    Proc. SPIE ; 10666


    Erscheinungsdatum :

    2018-05-16





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Recognition of 3D objects by use of computational integral imaging reconstruction [6490A-67]

    Park, J.-S. / Hwang, D.-C. / Shin, D.-H. et al. | British Library Conference Proceedings | 2007



    Integral imaging reconstruction by sampling elemental images [9142-39]

    Wang, Y. / Piao, Y. / Zhongguo yu hang xue hui | British Library Conference Proceedings | 2014